{"id":"W2796124916","doi":"","title":"Enhanced interface coupling conditions for composite heterogeneous models","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Composite number; Interface (matter); Coupling (piping); Computer science; Materials science; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00201106,0.001360642,0.0008497013,0.001583744,0.0006304071,0.00189955,0.001316392,0.001782226,0.008191098],"category_scores_gemma":[0.008934281,0.0006651807,0.0009283906,0.0005364993,0.001012988,0.003100969,0.00256058,0.001801012,0.0008254679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006317993,"about_ca_system_score_gemma":0.0006699128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001652803,"about_ca_topic_score_gemma":0.001649835,"domain_scores_codex":[0.998943,0.0004058732,0.0000494738,0.0001398993,0.0003197382,0.0001420502],"domain_scores_gemma":[0.9969333,0.001473618,0.0003666898,0.0003460659,0.0005858324,0.0002945582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005403603,0.0002250419,0.001622822,0.0003798476,0.0000652111,0.001064098,0.000431486,0.3025826,0.04463165,0.6269569,0.003644143,0.01785574],"study_design_scores_gemma":[0.00004226843,0.00004012067,0.0002598308,0.00002286297,0.00002171079,0.00008804483,0.0000688262,0.9442636,0.003845657,0.05009254,0.001237894,0.00001668072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1353291,0.0004157733,0.8202664,0.0004666657,0.0002064475,0.000139841,0.0002708354,0.0005306338,0.0423742],"genre_scores_gemma":[0.9141269,0.0003214024,0.0733511,0.0001875484,0.0001206864,0.0002099244,0.0004246023,0.0007679893,0.01048985],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008191098,"threshold_uncertainty_score":0.02740198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01909421982676269,"score_gpt":0.2587225749028948,"score_spread":0.2396283550761321,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}